Robots vs Humans: The fight for supremacy

Posted on December 12, 2019Categories Algorithms, Analytics, Artificial Intelligence, Blockchains, Cybersecurity, Data analytics, Digital currency, Internet of Things, Payment solutions, Robo advisor   Leave a comment on Robots vs Humans: The fight for supremacy

There were times when we dreamed of seeing robots doing jobs for us. Little did we know that along with making life easier for us, robots will steal our jobs. Some might argue that companies should stay loyal to its employees the same way its employees were loyal to it. Companies don’t mind taking that path, but it comes at a huge cost of losing ground to competitors. Most of the sectors out there have companies competing for supremacy, and technological changes are their path to success.

In order to stay relevant in a particular market, it is important to adapt to changes that bring efficiency and productivity.

This is also the case in the world of finance. The recent years have seen some dramatic changes in the financial sector, where robots have taken over some routine jobs. If you think this is bad news for people putting in years of work for these jobs, think again. Technology is not slowing down, and  robots are going to keep replacing many job functions.

Today, the usage of Artificial Intelligence (AI) is not breaking news. These technologies have been implemented in the capital markets. The use of such algorithms has resulted in automation of jobs in the global financial landscape.

The threat faced by the human financial experts is not simply based upon the fact that robots are way more efficient in all terms as compared to humans. It is also a fact that these experts are not trained to work alongside AI technologies.

Global financial executives and managers are aware of the changes that have taken place and the changes that are set to follow. A lot of these analysts are ready to welcome the changes by getting trained and skilled in the techniques, so that they get a chance to work using AI technologies  and remain in the position. It is quite evident that panic is setting in among professionals and the only way is to adapt and overcome.

Financial market traders, analysts, and a few other professionals are very well aware about the current. Fintech has ensured that most banking and finance facilities are now available at the fingertips of customers. Earlier, what used to take hours of standing in a line at banks is now replaced by sitting comfortably on your couch and takes a few seconds of your day.

On one hand, you have the ease of operations such as transferring money through Fintech apps, trading stocks from your phone, paying for commodities through mobile paying apps, and tones of other functions.

Apps like PayTM, Zerodha, PayZapp, etc are some wonderful examples of technology replacing many human functions. These apps today allow us to transfer funds, accept payments, buy and sell shares, mutual funds and many other market securities – from the comfort of our homes. These were tasks which would otherwise take a long time – as it involved us going out to banks and the broker’s office!

On the other hand, people are losing jobs because their jobs have been replaced by machines. This is an opportunity for us to upskill and get competitive as an economy.

Conclusion

The only thing permanent in this world is change. Embrace it! The overhaul that is set to take place in the financial industry is going to be rapid, and 10 years down the line, we will be witnessing changes that we never thought of.

Changes are going to happen whether you like it or not. We, at BSE Institute Limited truly believe in change and helping future experts adapt to these changes. With our GFMP Edge FinTech Professional program, get ready to be part of a disruptive new field that will change the way we live. This is your chance to be an expert, and bag high paying jobs in finance! Change, before you are forced to change!

Is Data Science the right step for you?

Posted on November 7, 2019Categories Algorithms, Analytics, Artificial Intelligence, Blockchains, Data analytics, Digital currency, Executive Courses, General, Internet of Things, Robo advisor   Leave a comment on Is Data Science the right step for you?

Every day is a tech-fest. New technologies, new updates to existing technologies, and hefty increase in investments in research and development. Data Science is a completely new industry that uses many tools that help an MNC multiply its business with ease.

You may have come across terms like data science, data analytics, big data, predictive analytics, etc which will herald a completely new industry with high paying jobs and a secure career. This is definitely true, as big data is helping many businesses sell much more than what they were used to selling. There are companies that are hiring data analytics professionals, because this will increase their efficiency and save them billions of Dollars in wasteful expenditure!

Before you get too excited, let’s answer a few basic questions.

 

Is Data Science right for you?

A person who doesn’t enjoy his work will be tempted to try a different opportunity instantly. Moreover, a field like data science is paying quite well, due to a dearth of skilled talent.

Let’s settle this by saying, you’re not going to succeed in this field if you don’t have the aptitude for it. You need to have a strong aptitude for mathematics, statistics and common logic for succeeding in this field.

 

Which skills does the industry need?

A Data Analytics division can be sub-divided into different categories.

  1. One of them is data analysis. It involves analyzing raw data, and ultimately getting actionable insights that can be used by the senior management for critical decision making.

A person who enjoys solving complex business issues is sure to succeed here.

  1. The next category is Business Analysis. Managers with business exposure and who regularly take business decisions are an ideal match for this. More data gives them a better picture and lets them act using information.

 

  1. The final category, which is definitely the most important one – is that of data scientists. They are the some of the best paid professionals in India and the World. Every Data Analyst and Business Analyst hopes to grow and attain this position. This requires certain standard of skill set, specialized training, and a statistical problem solving approach that matches this job. Having a few years of experience as an analyst is useful. Data Scientists are usually the ones designing key analytics models that help in understanding the industry, consumer markets and consumers themselves.

 

Entering the industry

Candidates who have practical experience are always preferred over the ones with academic knowledge. When it comes to academics, a candidates with a background in Mathematics, Engineering, and Statistics might have an edge over the rest. These are a few streams which skills which are useful for Data Analytics.

Where to start?

To get a better idea of what Data Analytics has, you could simply opt for one of the online courses on data analytics by bsevarsity.com. Along with that, assess yourself and gain skills that could help you be better to be industry ready.

Conclusion

We are part of a fast moving world, that demands everyone to be versatile. To keep you up with latest industry trends, BSE Institute Limited and IIT Madras offers a Business Analytics Program to nurture the budding data scientists.

Data is more valuable than gold!

Posted on September 16, 2019Categories Algorithms, Analytics, Artificial Intelligence, Blockchains, Data analytics, Digital currency, Executive Courses   Leave a comment on Data is more valuable than gold!

This is not an exaggeration, but the truth. With Data Scientist salaries touching Rs 22 Lakhs/ annum, it’s safe to say that this industry is now one of the highest paying in the world. Data Analytics, is now a solid division in any MNC – just like HR, Finance, Sales and Marketing; but maybe more important than some of them. The question is, are you in place to earn the big bucks?

What is Data Analytics?

According to investopedia.com, data analytics is the science of analyzing raw data in order to arrive at conclusions about market information.

It is used by companies that rely on data for arriving at decisions. Once data is extracted, these metrics are analyzed to find out patterns and insights which can be used to bring in changes and exploit the opportunities available to benefit a business.

Why has data become this important?

Data reveals certain unexpected trends and a completely new insight that could help your business exploit chinks in your competitor’s armour, market requirements or customer needs that you may have never heard of. This will directly impact your sales, revenue, market share and profits.

It could even find certain correlations between two data points which was previously hidden. Ex: A decrease in prices could actually result in a drop in sales in certain geographies.

This is why data is considered an asset and the most valuable resource. A business always tries to expand and find the hidden potential of a market, and analytics is the catalyst that can help it do so.

To sum it up, all you need to remember from a business point of view is that it can help you in –

  1. Competitive advantage
  2. Helps provide better customer service
  3. Increases profits
  4. Discover new markets
  5. Product development

The size of data in our hands and its usage around the world is beyond imagination. All you need to know is that the big names such as Amazon, Starbucks, Netflix, Coca Cola and a lot of other big names have gone forward with analytics and earned big!

Let’s take the example of Coca Cola.

In 2009, Coca Cola introduced mix and match machines that had 150 sparkling and still beverages in them. As a consumer you could blend the flavours of your liking and make your drink. These “freestyle” machines were backed with Artificial Intelligence which found the flavour which was in demand. There were 40,000 of these machines in the U.S which served over 14 million drinks per day!

After dispensing a lot of drinks, Coke got the answer they were looking for. Cherry was the flavour which had the highest demand and this led to the birth of Cherry Sprite and Cherry Zero. This was a major boost for a company which has been criticized for the usage of sugar in its cola drinks.

Coca Cola today uses its data for a variety of reasons. One of the most common things is mining data through social media handles and using it to create ads!

Conclusion

If you’re in business and you wish for a competitive edge over your rivals, look no further – data analytics is your answer. It is time you invested in it before its too late.

BSE Institute and IIT Madras offer you a Business Analytics Program.

Invest in what is already the biggest resource on this planet and be responsible for building the future.

It’s not data, it’s an ammunition!

Posted on August 7, 2019Categories Algorithms, Analytics, Artificial Intelligence, Data analytics   Leave a comment on It’s not data, it’s an ammunition!

 

Napoleon Bonaparte, the great French military general and statesman once said, “War is 90 percent information”. He said it in a different context back in the 18th century, but it is certainly relevant today in the world where trade and business mean war. With each business trying to get on top, a few bits of information might be the greatest ammunition you might need to get an edge over your competition.

The impact of not spending on data science and analytics can be catastrophic. A recent study found that, US businesses lose up to $600 billion annually due to poor data quality. Poor data gives poor insights and hence, they lose business to competitors.

The question isn’t, “does your business need data analytics?” instead its “how can my business get better data and insights?” Data analytics is today a critical business function like sales, marketing, finance and production.

Now, before we get into the benefits, let’s understand what exactly business analytics is.

It is the detailed study of data or information through statistical and operations analysis. This helps the businesses in taking certain critical decisions and make some strategic moves. Most importantly, business analytics operations help you find a pattern in every operation that you are analyzing, which helps you schedule your work process accordingly.

What are the benefits of Business Analytics?

There are many benefits to speak about, but we will stick to just the critical points:

  1. Increases revenues- The most basic motive of any business is to increase their revenues and well, business analytics will help you achieve this. Using the insights derived from analytics, a company can make quick changes which can attract more consumers and drive up sales.

Earlier the time taken to receive information from the market, from consumers, distributors and regional heads would take a few weeks at least. With the internet and smart hand held devices, that relay data real time, the insights team can get all the market data they need for analysis immediately. This can be crucial as any product that is not performing well can be pulled from the market and replaced with a high performing one. Instead of a drop in sales, the company will see a steady rise in sales, all because the analytics team relayed insights immediately.

  1. Decisive- There are various decisions in a business that will be crucial in the short and the long term. Making a decision will always be a dilemma, but business analytics makes the work easier for you. The statistical analysis will provide you with trends and help you make up your mind when it comes to quick decision making.

Netflix is a great example of a business that uses data analytics to give you quick suggestions on the next movie you should watch based on your previous choices.

  1. Competitiveness- The market is a game of fine margins. The quality of your data analysis could help you climb over your competitor and win the battle.

How do you think the likes of Starbucks remain at the top in their businesses? Even they use data analytics to personalize their services for customers using the Starbucks app. They collect data regarding the buying patterns of the customer and their preferences. This helps them give the customers a better and improved service.

Personalization isn’t the sole purpose. They even use the data to come out with new advertisements, new menus, offers and much more!

  1. Trend mapping- Data analysis allows analysts to predict the future demand for certain products and commodities. By observing the current demand, prices and other economic factors of earlier years, an analyst can predict the demand for a product in a year with similar climatic and economic conditions.

With such knowledge, a company can buy its raw materials before hand at a lower cost and have the finished products in the stores when they expect the consumers to demand it. This will allow a company to have its products on the shelves before its competitors, who may not have an idea of the expected demand.

A lot of the points mentioned above were unheard of 5-6 year back. However, today data allows people and organizations to be well prepared for tough competition. With data science and analytics any small firm can scale up rapidly by being present exactly at the places where consumers look for their products and selling the exact type or variant that their consumer wants. This can allow them to accumulate sufficient capital for growing their business.

Become a data science expert to help any organization grow by leaps and bounds in a short time. Join BSE Institute`s Certificate program in Business Analytics to begin your journey in this new emerging industry.

One order of Big Data for Big Mac

Posted on April 30, 2019Categories Data analytics   Leave a comment on One order of Big Data for Big Mac

 “The key to making acquisitions is being ready because you really never know when the right big one is going to come along.”

– James McNerney

We can’t talk about McDonald’s without thinking about a burger or the World famous Big Mac. The iconic company founded by Ray Croc is today one of the most well recognized fast food brand across the world. It is known to have a very strict plan of work for all the work done in house.

Parcel deliveries and drive thrus are an important part of their revenue. It allows McDonald’s to sell more products without having to seat people. This allows it to have more sales.

McDonald’s has recently acquired “Dynamic Yield”, a startup based in Tel Aviv, Israel for over $300 million, in order to improve its ability to predict the kind of menus a customer would want to eat when ordering at a drive-thru or at via their mobile app.

Dynamic Yield allows retailers to use algorithmic models, known as ‘decision logic’ technology to understand a customer’s preferences and influence his/ her choices. Example: If you add an item to an online shopping cart, it tells you about what other customers have bought and helps you select the other similar products.

This is McDonald’s largest purchase since the Boston Market (which they acquired in 1999). For a company with an income of $6 billion in 2018, this was a very easy purchase.

So the main question is why did they decide to invest in big data? Why not just hire an external agency that could do it for them?

McDonald’s serves around 68 million customers every single day. Majority of these people prefer to pick up their orders from the drive-thru window. This is where McDonald’s aims to deploy Dynamic Yield – for understanding and influencing consumers driving by for their orders.

This is what the present drive-thru window looks like: When you drive up and place your order at any McDonald’s, a digital display greets you with a handful of banners items or some promotions. As you move forward towards the ordering area, you immediately get the full menu. Both these slides are currently static, excluding the obvious changes like rotating new offers or switching from breakfast to dinner.  

In a pilot program at a McDonald’s in Miami, which is powered by Dynamic Yield, those displays are now different. Algorithms crunch even small data like the weather, time of day, local traffic, nearby events and of course the historical sales data, both at that of the specific outlet and around the world.

With the new machine-learning program a remarkable display of real estate goes towards showing customers what other items are or have been popular at that location and prompting them with potential up-sells.

Ex: while exiting you receive a message like, Thanks for your Happy Meal order; maybe you’d like a Coke to go with it.

These small changes help McDonald’s sell more. With this machine-learning system, the real benefits will likely be immeasurable.

This system also provides many other benefits. Like if the drive-thru is moving very slowly, the algorithm can automatically switch the menu and can show items that are simpler to prepare. This will help speed things up. On the other hand, the display can also highlight more complex, pricier sandwiches on a slow day.

McDonald’s is looking to spread this technology to all its outlets all over the world. Dynamic Yield adds a personal layer to McDonald’s tech stack.  

“It’s probably is less about the product and more about the data scientists, the team that comes with it and their ability to move quickly with us,” says Mr. Daniel Henry, McDonald’s executive vice president.

Big Data and Machine Learning is evolving everyday – with new applications and uses being employed if varied fields. With Multi-national giants like McDonald’s investing heavily in the sector, the job opportunities are bound to multiply rapidly. BSE Institute Limited helps you to be the most sought Data Scientist in the country with its GFMP Edge Data Science Program. A 4-month course can help you secure your seat at global companies.

 

Z+ security needed for financial data

Posted on November 5, 2018Categories Data analytics   Leave a comment on Z+ security needed for financial data

The World has seen a huge increase in the number of cyber crimes, cyber-frauds, ransomware attacks, identity thefts. Recently Facebook was believed to have been a victim of a hacker attack that resulting in over 50 million users getting locked out of their accounts. India has not been immune to this. We read about many cyber crime cases where many hapless users lose money from their accounts. The amounts that people have lost are in crores. Hence, it has become necessary to build an infrastructure that can protect data and can pro-actively prevent these attacks.

India being the second most populated nation in the world, generates a large amount of data. Data regarding financial transactions, shopping patterns, travel habits, etc, can be easily used by criminals to create transactions and bank transfers that look legitimate and are difficult to trace. As India is a populous country, it is very easy for criminals to cover their tracks in a mountain of data.

A lot of money that is stolen using frauds is used for nefarious activities such as drug smuggling, human trafficking and other illegal activities. Hence, it has become very important for all banks, tech companies and the RBI to come together and combat cyber criminals.

As per RBI guidelines, all financial institutions and fintech companies are required to store their domestic transactions data within India. The objective of localizing data is to ensure that all the personal and private data related to is stored within the country. This will ensure the safety and security of the Indian payment ecosystem. There are possibilities of non-state actors targeting companies with this data. It is tough to keep an eye on this data when it isn’t in your country. With this RBI’s directive, that consumer data will be available in India itself.

This mandate was welcomed by major Indian fin-tech companies, such as Paytm, Freecharge and PhonePe, but it has not gone down well with other global finance companies. Due to the RBI’s directive, Visa and Mastercard, two global payment giants, have started storing financial data locally. Experts believe that this move will bring our country’s financial system under the complete control of the RBI. This is sure to put the country on a path to build strong cyber defenses.

China, Russia, and North Korea have already adopted the strategy of storing data locally within their country. They have adopted suitable measures to ensure the safety of information.

Complying with this data directive will be tough for many international finance companies as they operate in over 200 countries. Not all their functions/ tech teams sit in the same country and hence it will be difficult to localize each and every process. Consider this – a lot of Facebook’s servers are located in the USA, Ireland and Finland. To consider building an infrastructure to support their business and store all the data in all 200 countries will be a tough task. It is quite possible that they may cease operations in some. However, that is where the Indian advantage comes into play.

With a huge population, it is impossible to ignore India. Thus, most tech and finance corporations will soon comply and implement the directives of the RBI. This is turn is bound to create new job roles in many corporates.

BSE Institute’s GFMP Edge Certified Data Scientist program helps develop the skills needed for machine learning and data analytics. With the RBI’s directive, there will be a requirement of data scientists and analysts who will be needed to monitor and manage all financial transactions.

With BSE Institute’s data analyst certification program, one can understand analyze the structure of data-sets and databases, including big data of large financial data-sets which is used for marketing and other business functions.

 

Here’s how data analytics is redefining banking!

Posted on October 8, 2018Categories Data analyticsTags , , , ,   Leave a comment on Here’s how data analytics is redefining banking!

The banking sector is evolving at the same speed with which technology is evolving. Banks adapted IT in the late 1980s and became totally computerized. This was a revolutionary transformation in the banking sector. From an age where, everything was written and maintained by hand, to an age where everything is now monitored on a small screen in the palm of your hand. Banking has changed rapidly.

With the introduction of credit scores it has become very important for any bank/ financial organization to have a strong data and analytics team which can crunch the numbers and give them the exact list of people they need to approach for selling financial products.

In a World with a population of approximately 7.5 Billion, knowing who to talk to for selling your products is of utmost importance. Today every single decision to drive revenue, control costs or mitigate risks can be directly supported with Data. Data Analytics provides the biggest opportunity for the banking sector to grow and be even more profitable.

Data Analytics is transforming the banking sector in the following ways:

Restrain Fraudulent Transactions

Monitoring and studying customer behavior with the help of data is the precursor for preventing any fraudulent activity. Big data analytics offers an opportunity to tackle any fraudulent activity. Any unusual activity is highlighted and the authorities/ account owner is notified. The consumer is notified and in case the customer replies back immediately, the bank is able to stop the transaction and block the account. Thus, with an abundance of data, we can predict and prevent frauds even before they occur.

Managing Risks

The banking sector faces different types of risks at every moment. Some of the biggest risks faced by them are non-performing assets (NPAs) and slow-moving credit growth. Data helps monitor the health of a bank. Analytics is able to chart a pattern of time and reasons why borrowers default on their payments. This is applicable for corporate as well as individual borrowers.

For example: a drop in rainfall expectancy or poor climactic conditions, increases the chances of a default by an agricultural company or by a person/ company dependent on rural markets for their business. Thus, the cost of capital/ credit for such companies/ individuals will be much higher than what it normally is for other solvent individuals/ companies. Having information about risky bets helps banks avoid them.

Targeted Marketing

The days of a customer service agent calling you for marketing their products are fast fading away. Data Analytics helps banks/ financial institutions, by breaking down the vast amount of data related to a customer’s account – past history of loans sanctioned and the customer’s earning and expenses, which saves a bank employee’s time by e-mailing/ displaying ads only to the targeted customers.

Cutting costs

Data Analysis yields the best results in this respect. A thorough analysis of all historical data gives managers and leaders a clear idea of the path that they should take in any particular market scenario. The answer for any question can be easily answered using historical data. This helps managers and managements take tough calls effortlessly – it could about a continued investment in a product/ business, laying off staff or about ramping up investments in the business.

As analytics becomes an indispensable function in banks, retail, finance and other major industries, it is imperative for all budding managers and executives to have a thorough understanding of the same. The 4 month GFMP Edge Data Scientist, Data Analyst certification program offered by BSE Institute will help young students and executives master the skills you need to establish a successful data science career. The curriculum is developed by consulting leading industry analytics leaders to ensure students master the most cutting-edge analytics skills.

Analytics combines data with every division of the company and this helps in making every process of the company to become smoother and more profitable. Today, data analytics has become a key component of the banking sector and is on track to be the most important function in global banks.

Fool-proof ways to be a successful Data Scientist

Posted on September 12, 2018Categories Data analytics   Leave a comment on Fool-proof ways to be a successful Data Scientist

The decades of 1990s and the 2000s are synonymous with the rise of large IT/ technology firms which have helped many professionals become US Dollar Millionaires, by just working for a firm. That’s right! Many professionals are Millionaires because of the fantastic salaries that they are able to draw.

There are many engineers and graduates who believed that they could ride the same wave and have the same bright future. Unfortunately that is not the case. With the advent of automation and an uncertain global policy framework, the future is not as rosy as it earlier was for IT professionals.

One phrase which rings true even today is that, opportunities are always on offer for those willing to look for them! Data Science is a field that was limited only to a few high end tech companies 5 years ago, but it’s a division which almost all companies with a staff of 50 or more have. Data Science today is intrinsically linked to the survival of many companies.

A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data which help in identifying ways to grow the business of the organization.

A Data Scientist is able to sift through any data shared and inform marketers/ sales heads about the various kinds of consumers, the time they buy, their brand/ product preferences, their buying patterns, etc. This is data which was available earlier, but was not utilized. As researchers and statisticians have developed tools to use this data to our advantage, it has created many job positions which were non-existent earlier.

The demand for Data Scientists is growing significantly as many big corporations want clean information which they can use from a large data dump. According to NASSCOM there are over 5 lakh Data Scientist vacancies in India in 2018. USA alone has a shortage of 1.5 Lakh Data Scientists. A lot of people know about various vacancies, but they struggle to be prepared for it. Here’s how one can be prepared for it:

  1. Define the problem

In the words of the revered patriarch of the TTK Prestige group, Shri TT Jagganathan, it is absolutely necessary to first learn to define and understand the problem, rather than simply learn formulas and applying them wherever possible.

One of the biggest challenges with Data Science is knowing what you want to achieve. When you receive a few GB/ TB of data, it is difficult to absorb that data and make sense of it. Only if you have a defined objective in mind do you actually know what’s supposed to be done. Without an objective it is similar to finding a needle in a haystack. With set road map, your team will always know the steps to be taken and avoid any decisions that waste time.

  1. Understand the business before you start

This is a continuation of the first point. Without a sound understanding of what the business does, it is impossible to understand the challenges it faces. Conducting a SWOT analysis of the business/ industry is a must. Without having a thorough understanding of the operations, one cannot understand the areas that he/ she needs to look into. There are a few things you should know before you start solving a problem. This includes customer information, industry level data, business strategies and product details. All these details are required for proper analysis.

  1. Follow the diverge-converge thinking process

 Data analytics is an important part of innovation and customer service. The ability to think by first considering a wide variety of options/ ideas and then narrowing down to a few good options is known as the diverge-converge thinking process. You must follow a systematic way to diverge and converge. Think of all possible hypotheses which could be applicable to a problem, all the possible solutions. Start eliminating them one by one to finally come down to a handful (2-3) solutions which can be implemented and executed quickly.

Having this approach is necessary in an industry where there is Tera Bytes (TBs) of data available. Without a systematic approach to problems, people can easily get lost in a large dump of data.

  1. Always think of an alternate solution  

When one tends to dwell on a particular industry and all its data, it is very easy and dangerous to develop tunnel vision, .i.e. thinking only about one particular solution/ in one direction. Sometimes the data at hand may not be enough to come to certain conclusions. For that exact reason, we need to plan for contingencies.

In some cases, the hypotheses/ assumptions made are very close to each other. Hence, it becomes difficult to suggest one definite path for resolving a problem. Hence, it’s always necessary to have a second option to fall back on.

  1. Participate in Hackathons

 Wikipedia defines a hackathon as a (hack day/ hackfest/ codefest) an event in which programmers, analysts and all those interested in software design/ programming/ development (including subject-matter-experts), collaborate together on tough/ expert software projects.

In an industry as dynamic as Data Analytics/ Science, participating in hackathons will let professionals understand the various techniques used by competitors and other senior professionals of the industry. This gives individuals a clear insight into the way senior professionals work and the manner in which they can make a positive impact on their businesses.

  1. Learn upcoming tools  

Working with a large quantity of data is very tough hence, it shall always be an industry that needs innovative tools which help professionals manage data with ease. This industry is always ripe for disruption. Therefore, there will always be people who come up with new tools and softwares, which can help us work faster. Keep reading about the same as it is beneficial to stay updated. Learning new tools always helps you to handle a big databases.

BSE Institute Limited’s GFMP Edge Certified Data Scientist program will train you to join the Data Science field in just 4 months. It is currently one of the best data science programs for enthusiasts as one can learn about the latest tools, techniques and can practically get big data analytics training.

As an industry that was not very big a 5 years ago, Data Science is growing at a stupendous rate. Corporates of every major economy of the world are embracing data analysis at a rapid rate and even those who don’t plan to build a career in the industry need to understand its ramifications, and applications to improve their career prospects.

Masters in FinTech is your path to a senior position right after college

Posted on July 23, 2017Categories Algorithms, Analytics, Artificial Intelligence, Blockchains, Corporate Finance, Cybersecurity, Data analytics, Digital currency, Education, Entrepreneurship, Financial Markets, General   Leave a comment on Masters in FinTech is your path to a senior position right after college

A Million Dollar question that all of us are asked on our faces is, “What are your marks?”. The Billion Dollar question that people surely ask behind our backs is “How much does he/ she earn?” The answer to the first one does not impact us a lot as we may be pathetic students, but great employees. The second one is important as it is your first job that really determines the trajectory of your entire career. The reason is aptly outlined by the phrase well begun is half done. Your choices determine the kind of person you are and hence people will judge you for the college you choose, the course you study and the company you keep. This is why it is important to plan your future right to the “T”.

FinTech is the technology that manages mobile banking, digital wallets, digital banking, algorithmic trading and other online financial functions. Most of these were introduced by startups but now are being adopted by major global banks as these offer better and cheaper services to customers. Banks are able to build the infrastructure by pumping in money, but they are unable to hire the human resources required for managing the same. This is because the industry is fairly new and not a lot of people are trained in it. Due to a shortage in supply and a huge demand for these trained resources, skilled talent are getting hired at extremely high packages at senior positions. It pays to be at the right place at the right time and now is the right time for FinTech!

BIL offers a 2 year post graduate Masters in Financial Technology in affiliation with Mumbai University. The course curriculum is designed by experienced industry professionals who are sought after and highly respected in the BFSI industry. The course is designed specifically to ensure that students can perform all those functions a student with an MBA in Finance can perform. This includes operations and management of a business unit of a company. Students will have an additional expertise of handling financial technology like digital currencies, blockchains, algorithmic trading, etc.

The full time course is divided into 4 semesters, which consist of Financial Accounting, Business Statistics, Data Analysis and Interpretation, Principles of Financial Management, Peer to Peer networks, Blockchains, Digital currencies, Insuretech, Derivatives, Fund Management, Robo Advisors, Algorithmic Trading, Banking Technology & Operations, Cybersecurity applications and entrepreneurship management. Students will also get to train under some of the best industry professionals working at major financial institutions.

BIL is a 100% subsidiary of the Bombay Stock Exchange (BSE). It was established to train students and working professionals with the skills that are desperately needed by the BFSI industry, but are short in supply. BIL is located in the heart of the country’s financial capital and hence is able to identify those needs effectively. It offers multiple long term and short term courses for students and working professionals to get trained and seek better career opportunities.

The course curriculum is designed by experienced industry professionals who are sought after and highly respected in the BFSI industry. The course is designed specifically to ensure that students can perform all those functions a student with an MBA in Finance can perform. This includes operations and management of a business unit of a company. Students will have an additional expertise of handling financial technology like digital currencies, blockchains, algorithmic trading, etc.

Mumbai University is one of the oldest and the most prestigious Universities’ of India, which was established in 1857. The University has over 5.5 lakh students enrolled at any given point of time.It has the distinction of training and grooming some of the most distinguished personalities of the country from almost all walks of life. Adi Godrej, Anil Ambani, Mukesh Ambani, Azim Premji, Chanda Kocchar, etc. who are all well known and established names of the business World have Mumbai University as their Alma Mater.

All students who successfully complete the course shall be given placement assistance and will be awarded a degree by the University of Mumbai. Students can learn more by clicking here.

 

 

A Masters in Fintech makes you more valuable than an MBA (Finance)

Posted on July 20, 2017Categories Algorithms, Analytics, Artificial Intelligence, Blockchains, Corporate Finance, Cybersecurity, Data analytics, Digital currency, Education, Entrepreneurship, Financial Markets   Leave a comment on A Masters in Fintech makes you more valuable than an MBA (Finance)

Yes you read that correctly! BSE Institute Ltd (BIL)&the University of Mumbai jointly offer a 2 years full time Masters in Financial Technology. The course is designed to teach students all the subjects that an MBA in Financial Markets would teach them and will also help them gain expertise in Financial Technology. FinTech or financial technology is a new concept that is getting traction all over the world. Payment banking, cryptocurrencies, algorithmic trading, net banking, etc are all examples of FinTech. Banks have been investing Billions of dollars annually to upgrade their infrastructure. Banks are able to build the systems easily, but are finding it difficult to employ skilled professionals who can handle this technology. It is for this reason that, people with knowledge about this industry are highly sought after and are offered Rs1 crore plus packages, sometimes right after college.

Students completing this course are highly sought after as they are taught by working industry professionals, who have at least a decade’s work experience in the industry. All faculties are actively involved in designing and teaching of the course. This is a huge advantage as they are all placed at senior positions in the industry and are sought after opinion makers, who are quoted regularly in the media.

The Bombay Stock Exchange Ltd is Asia’s first stock exchange with a 141 year history and is today the biggest and the fastest stock exchange in the World. BSE Institute Ltd is a 100% subsidiary of BSE that was founded to promote working executives and students who are interested in the BFSI industry. BIL aims to assist professionals and entrepreneurs who are committed to growing the industry, their organizations, colleagues, employees. BIL offers multiple courses for professionals to learn from. With the institute present in BSE, the heart of Mumbai, the financial capital of the country, it gives students a chance to observe the industry and its events from a point that other institutes are unable to offer.

BIL courses are recognized by universities in UK, Canada, Germany, Australia and New Zealand. This gives students the opportunity to visit these campuses under student exchange programs and the option of exploring options there. BIL offers many short term and long term courses for those interested in building their careers or growing in the BFSI sector.

The course consists of subjects like Financial Accounting, Business Statistics, Data Analysis and Interpretation, Principles of Financial Management, Peer to Peer networks, Blockchains, Digital currencies, Insuretech, Derivatives, Fund Management, Robo Advisors, Algorithmic Trading, Banking Technology & Operations, Cybersecurity applications and entrepreneurship management.

The curriculum is taught with business case studies, simulations and live industry examples that gives students an idea of what they can expect in the industry. This gives students the opportunity to pick up industry relevant skills and knowledge that lets them hit the ground running from day one. The knowledge learnt is not theoretical, but practical.

Mumbai University is most well-known educational institution that needs no introduction. It is one of the oldest and the most prestigious universities of India. It has over 5 lakh students studying some course with it at given point of time.

BIL has won multiple awards all over the World for the excellent skills and knowledge that students pick up while they study at BIL. Students successfully completing the course shall be given placement assistance and shall be placed at major financial institutions, global/ national banks, investment banks, Private Equities, etc. Students completing the course shall be awarded a degree by the University of Mumbai.